5  Habitat Compression Index 2024

Code 
import sys

sys.path.append('../../')
from script_IDS import fun_script_IDS

import pandas as pd

cciea_yr = 2024


fn_meta = './metadata.csv'
df1 = pd.read_csv(fn_meta)
cell2_wnt = ['Component_Section', 'Subcomponent', 'ERDDAP_Dataset_ID', 'PI', 'Contact']

ds_id_hci1 = 'cciea_OC_HCI'
ts_id_list = ['cciea_OC_HCI1']
vec2_hci1, ds_id_lbl_hci1, rgn_lbl_hci1 = fun_script_IDS(df1, cell2_wnt, ds_id_hci1, ts_id_list)

ds_id_hci2 = 'cciea_OC_HCI'
ts_id_list = ['cciea_OC_HCI2']
vec2_hci2, ds_id_lbl_hci2, rgn_lbl_hci2 = fun_script_IDS(df1, cell2_wnt, ds_id_hci2, ts_id_list)

ds_id_hci3 = 'cciea_OC_HCI'
ts_id_list = ['cciea_OC_HCI3']
vec2_hci3, ds_id_lbl_hci3, rgn_lbl_hci3 = fun_script_IDS(df1, cell2_wnt, ds_id_hci3, ts_id_list)

ds_id_hci4 = 'cciea_OC_HCI'
ts_id_list = ['cciea_OC_HCI1']
vec2_hci4, ds_id_lbl_hci4, rgn_lbl_hci4 = fun_script_IDS(df1, cell2_wnt, ds_id_hci4, ts_id_list)

Description     The Habitat Compression Index (HCI) is the area of cool habitat along the coast, which is suitable for a diverse and productive portion of the CCE food web. HCI is estimated in four biogeographic provinces along the shelf within the CCE.

Indicator Category     Climate and Ocean Drivers

Data Steward     Schroeder

Erddap Dataset ID     cciea_OC_HCI

CCIEA timeseries ID     cciea_OC_HCI1, cciea_OC_HCI2, cciea_OC_HCI3, cciea_OC_HCI1

Region     NCC (43.5-48.0N), CCC (40.0-43.5N), CCC (35.5-40.0N), NCC (43.5-48.0N)

Public availability statement     Source data are publicly available.

Data sources     Daily SST maps are optimally interpolated, remotely sensed temperatures (Huang et al. 2021). The daily optimal interpolated AVHRR SST can be downloaded from ERDDAP, https://coastwatch.pfeg.noaa.gov/erddap/index.html, dataset ID: ncdcOisst21Agg. The daily data were averaged to monthly means, and the monthly values were used to calculate the HCI.

Additional Information     The HCI is defined over 4 regions along the coast (43.5-48°N, 40-43.5°N, 35.5-40°N, and 30-35.5°N). The HCI is calculated the same for each region and is defined as the area of cool monthly averaged sea temperatures at a depth of 2 m that fall below a temperature threshold, in a region extending from the coast to 150 km offshore between the latitude ranges of the 4 regions. Each month has a unique temperature threshold that is defined as the spatial average of all 2 m temperatures from the coast to 75 km offshore in the latitudinal region for a given month over a climatological period of 1980 to 2010 (schroeder2022?).

Figures

(a) HCI 4 Regions
Figure 5.1: The Habitat Compression Index (HCI) measures the area of cooler water that falls below a threshold. Monthly thresholds are defined over four regions (a) within the CCLME. Each region has the bottom depth contoured, with an offshore extent of 150 km. The red line is the distance 75 km from shore that is the offshore limit of the monthly threshold definition. Separate monthly thresholds are necessary for the 4 regions due to the meridional temperature differences experienced over the CCLME. See plot (b) for the seasonal 2 m temperature means over the CCLME.




(a) Region 1 (43.5-48°N)

 

(b) Region 2 (40-43.5°N)
(c) Region 3 (35.5-40°N)

 

(d) Region 4 (30-35.5°N)
Figure 5.2: Monthly habitat compression index (HCI) for January 1980 to November ({r} cciea_yr). The index describes the contraction and expansion of cool shelf habitat between the latitude range and from the coast out to 150 km offshore. Each month the area of water below a temperature threshold is calculated where a value of 0 represents no cool water in the region and a value of 1 indicates the whole area is comprised of cool water. Monthly resolved temperature thresholds are the spatial mean of temperature values between the latitude range and from the coast out to 75 km offshore over a climatological time period of 1980-2010.




(a) Region 1 (43.5-48°N)

 

(b) Region 2 (40-43.5°N)
(c) Region 3 (35.5-40°N)

 

(d) Region 4 (30-35.5°N)
Figure 5.3: Seasonal averages of HCI.

2024 Conditions

References

Huang, Boyin, Chunying Liu, Viva Banzon, Eric Freeman, Garrett Graham, Bill Hankins, Tom Smith, and Huai-Min Zhang. 2021. “Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1.” Journal of Climate 34 (8): 2923–39. https://doi.org/10.1175/jcli-d-20-0166.1.
Santora, Jarrod A, Nathan J Mantua, Isaac D Schroeder, John C Field, Elliott L Hazen, Steven J Bograd, William J Sydeman, et al. 2020. “Habitat Compression and Ecosystem Shifts as Potential Links Between Marine Heatwave and Record Whale Entanglements.” Nature Communications 11 (1): 1–12.